Jacqueline F Hayes1,2, Katherine J Hoggatt3,4, Jessica Y Breland1. 1. VA HSR&D Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, CA 94025. 2. Department of Psychiatry and Human Behavior, Alpert School of Medicine, Brown University, Weight Control and Diabetes Research Center, The Miriam Hospital, 196 Richmond Street, Providence, RI 02903. 3. VA HSR&D Center for the Study of Healthcare Innovation, Implementation and Policy, VA San Francisco Healthcare System, San Francisco, CA, 94121. 4. Department of Medicine, University of California, San Francisco, CA, 94143.
Abstract
INTRODUCTION: Individuals with obesity have higher rates of mental health disorders, both singly and in combination, than individuals of normal weight. Mental health disorders may negatively impact weight loss treatment outcomes; however, little is known about the mental health burden of individuals using weight loss programs. The current study identifies common mental health diagnostic profiles among participants of MOVE!-the Veterans Health Administration's behavioral weight loss program. MATERIAL AND METHODS: We used national VHA administrative data from fiscal year 2014 to identify veteran primary care patients who participated in at least one MOVE! session the previous year (n = 110,830). Using latent class analysis, we identified patient types (classes) characterized by the presence or absence of mental health diagnoses, both overall and stratified by age and gender. RESULTS: There were several patient types (classes), including psychologically healthy, predominantly depressed, depressed with co-occurring mental disorders, and co-occurring mental disorders with no predominant psychological condition. Additional patient types were found in men of different ages. The majority of patients had at least one psychiatric disorder, particularly younger patients. CONCLUSIONS: Efforts to improve patients' engagement in the MOVE! program may need to address barriers to care associated with mental health disorders or incorporate care for both obesity and mental health diagnoses in MOVE! A holistic approach may be particularly important for younger patients who have a higher comorbidity burden and longer care horizons. Future work may address if patient types found in the current study extend to non-VHA obesity treatment seekers.
INTRODUCTION: Individuals with obesity have higher rates of mental health disorders, both singly and in combination, than individuals of normal weight. Mental health disorders may negatively impact weight loss treatment outcomes; however, little is known about the mental health burden of individuals using weight loss programs. The current study identifies common mental health diagnostic profiles among participants of MOVE!-the Veterans Health Administration's behavioral weight loss program. MATERIAL AND METHODS: We used national VHA administrative data from fiscal year 2014 to identify veteran primary care patients who participated in at least one MOVE! session the previous year (n = 110,830). Using latent class analysis, we identified patient types (classes) characterized by the presence or absence of mental health diagnoses, both overall and stratified by age and gender. RESULTS: There were several patient types (classes), including psychologically healthy, predominantly depressed, depressed with co-occurring mental disorders, and co-occurring mental disorders with no predominant psychological condition. Additional patient types were found in men of different ages. The majority of patients had at least one psychiatric disorder, particularly younger patients. CONCLUSIONS: Efforts to improve patients' engagement in the MOVE! program may need to address barriers to care associated with mental health disorders or incorporate care for both obesity and mental health diagnoses in MOVE! A holistic approach may be particularly important for younger patients who have a higher comorbidity burden and longer care horizons. Future work may address if patient types found in the current study extend to non-VHA obesity treatment seekers.
Authors: Jun Ma; Lisa Goldman Rosas; Nan Lv; Lan Xiao; Mark B Snowden; Elizabeth M Venditti; Megan A Lewis; Jeremy D Goldhaber-Fiebert; Philip W Lavori Journal: JAMA Date: 2019-03-05 Impact factor: 56.272
Authors: Jessica Y Breland; Ciaran S Phibbs; Katherine J Hoggatt; Donna L Washington; Jimmy Lee; Sally Haskell; Uchenna S Uchendu; Fay S Saechao; Laurie C Zephyrin; Susan M Frayne Journal: J Gen Intern Med Date: 2017-04 Impact factor: 5.128
Authors: Floriana S Luppino; Leonore M de Wit; Paul F Bouvy; Theo Stijnen; Pim Cuijpers; Brenda W J H Penninx; Frans G Zitman Journal: Arch Gen Psychiatry Date: 2010-03
Authors: Shira Maguen; Katherine D Hoerster; Alyson J Littman; Elizabeth A Klingaman; Gina Evans-Hudnall; Rob Holleman; H Myra Kim; David E Goodrich Journal: J Affect Disord Date: 2016-01-06 Impact factor: 4.839
Authors: Sharain Suliman; Lise Anthonissen; Jonathan Carr; Stefan du Plessis; Robin Emsley; Sian M J Hemmings; Christine Lochner; Nathaniel McGregor; Leigh van den Heuvel; Soraya Seedat Journal: Harv Rev Psychiatry Date: 2016 Jul-Aug Impact factor: 3.732
Authors: Jeffrey F Scherrer; Joanne Salas; Kathleen M Chard; Peter Tuerk; Carissa van den Berk-Clark; F David Schneider; Beth E Cohen; Patrick J Lustman; Paula P Schnurr; Matthew J Friedman; Sonya B Norman Journal: J Psychosom Res Date: 2019-10-15 Impact factor: 3.006